Senior Software Engineer, Data and AI Infrastructure
Airwallex · US - Seattle
About this role
**Senior Software Engineer, Data and AI Infrastructure** **About Airwallex** Unified payments and financial platform for global businesses. Serving 250,000+ companies including Brex, Navan, Qantas, and SHEIN. 2,300+ team members across 27 offices globally. Valued at US$11B. **The Role** Design and operate distributed systems powering data and AI platforms. Build high-throughput data processing, real-time workloads, and production AI infrastructure on Kubernetes and cloud platforms. **Key Responsibilities** • Design and operate highly available data and AI infrastructure on Kubernetes and public cloud • Develop scalable platforms for streaming, batch processing, and real-time workloads (Kafka, Spark, Flink) • Build AI infrastructure: gateways, model-routing, traffic management, rate limiting, observability • Create self-service capabilities for data, AI, and application teams • Partner across teams to translate requirements into platform capabilities **Required Experience** • 5+ years in DevOps, SRE, or platform engineering • Production Kubernetes design, operation, and troubleshooting • Distributed data infrastructure (Kafka, Spark, Flink) OR AI infrastructure experience • Hands-on experience with AWS, Google Cloud, or Azure • Cloud/container networking expertise (DNS, load balancing, TLS, routing, security) • Proficiency in Go, Python, or Java • Strong distributed systems knowledge • Infrastructure-as-code and modern observability practices • Excellent debugging and cross-team collaboration skills **Bonus Skills** • Platform engineering and internal developer platforms • AI serving technologies (SGLang, vLLM, NVIDIA Triton) • GPU scheduling, model parallelism, inference optimization • Cost efficiency improvements for large-scale workloads • Open-source infrastructure contributions **Location:** Seattle, WA (Hybrid) **Apply:** careers.airwallex.com
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